Claude 3.5 Haiku vs Gemini 2.0 Flash
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Claude 3.5 Haiku dari Anthropic dan Gemini 2.0 Flash dari Google adalah dua model AI unggulan. Claude 3.5 Haiku menawarkan jendela konteks 200K token dengan harga $0.80/$4.00 per 1 juta token, sedangkan Gemini 2.0 Flash menyediakan konteks 1.05M token seharga $0.10/$0.40 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Claude 3.5 Haiku
Model Agen Otonom & AlatClaude 3.5 Haiku dari Anthropic adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 200K, kecepatan 130 token/detik, indeks kecerdasan 36/
$0.80 / 1M
$4.00 / 1M
200K tokens
40.6%
Gemini 2.0 Flash
Inferensi Super CepatGemini 2.0 Flash dari Google adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 1.0M, kecepatan 240 token/detik, indeks kecerdasan 40/100, serta t
$0.10 / 1M
$0.40 / 1M
1.05M tokens
42%
Perbedaan Utama Sekilas
- Gemini 2.0 Flash is 9.0x cheaper for API usage (input + output tokens combined).
- Gemini 2.0 Flash has a larger context window (1M vs 200K tokens).
- Gemini 2.0 Flash is faster at 240 tok/s vs 130 tok/s.
- Gemini 2.0 Flash leads on SWE-bench coding (42.0% vs 40.6%).
| Feature | Claude 3.5 Haiku | Gemini 2.0 Flash |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 36 | 40 |
Provider | Anthropic | |
Input Price Cost per million input tokens | $0.80 / 1M | $0.10 / 1M |
Output Price Cost per million output tokens | $4.00 / 1M | $0.40 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.62 / 1M | $0.08 / 1M |
Context Window Maximum input + output tokens | 200K tokens~300 A4 pages of text | 1.05M tokens~1,573 A4 pages of text |
Max Output Tokens Per single request | 8K | 8K |
Throughput Speed Tokens generated per second | 130 tok/s | 240 tok/s |
SWE-bench Verified Real-world software engineering | 40.6% | 42% |
GPQA Diamond Graduate-level reasoning | 41.6% | 55.4% |
Cached Input Price Prompt caching discount per 1M tokens | $0.08 / 1M | $0.03 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkSkor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Claude 3.5 Haiku · Strengths & Key Advantages
- Jendela konteks 200K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 40.6% · GPQA Diamond 41.6%)
- Kecepatan generasi tinggi 130 token/detik dengan latensi token pertama (TTFT) hanya 380 ms
- Skema harga API kompetitif (tarif $0.8/$4 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
Gemini 2.0 Flash · Strengths & Key Advantages
- Jendela konteks 1.0M dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 42% · GPQA Diamond 55.4%)
- Kecepatan generasi tinggi 240 token/detik dengan latensi token pertama (TTFT) hanya 280 ms
- Skema harga API kompetitif (tarif $0.1/$0.4 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Claude 3.5 Haiku | Gemini 2.0 Flash |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.90 | $0.13 |
Output Tokens / Task Tokens generated per task | 45K | 60K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 33K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Claude 3.5 Haiku | Gemini 2.0 Flash |
|---|---|---|
| Official API Model ID (SDK) | claude-3-5-haiku-20241101 | models/gemini-2-flash |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2024-11 | 2024-12 |
| Knowledge Cutoff | July 2024 | August 2024 |
| Architecture | Optimized Lightweight Transformer | Multimodal Flash MoE |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | $0.08/1M cached read (90% off); 5-min default & 1-hour extended TTL | Implicit + Explicit Context Caching at $0.025/1M with configurable TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Native Web Search Citations + Code Execution Tool + MCP Connectors | Built-in Google Search Grounding + Managed Python Code Execution Sandbox |
| Official Fine-Tuning Support | Custom Model Tuning via Amazon Bedrock & Prompt Distillation | Vertex AI Supervised Adapter Tuning & Context Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec) |
| Quantization & Min GPU VRAM | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | Google DeepMind Frontier Safety Framework Verified |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision | text, vision, audio, video |
| Output Modalities | text | text |
Claude 3.5 Haiku vs Gemini 2.0 Flash: Jawaban Cepat (FAQ)
Which is more intelligent, Claude 3.5 Haiku or Gemini 2.0 Flash?
Gemini 2.0 Flash is more intelligent. It scores 40 compared with 36 on the composite Intelligence Index.
Which model is faster?
Gemini 2.0 Flash is faster, generating 240 tokens per second compared with 130 tokens per second.
Which model is cheaper to run?
Gemini 2.0 Flash is cheaper at $0.08 per 1M tokens blended, compared with $0.62 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Gemini 2.0 Flash has lower latency, with a time to first token of 0.28s compared with 0.38s.
Which model has a larger context window?
Gemini 2.0 Flash has a larger context window, supporting 1.05M tokens compared with 200K tokens.
Kesimpulan
Baik Claude 3.5 Haiku (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Gemini 2.0 Flash (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemini 2.0 Flash unggul dalam penalaran dan pemrograman, Gemini 2.0 Flash memberikan kecepatan generasi token lebih tinggi, dan Gemini 2.0 Flash lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Claude 3.5 Haiku atau Gemini 2.0 Flash?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini 2.0 Flash memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Claude 3.5 Haiku vs Gemini 2.0 Flash?+
Claude 3.5 Haiku mengenakan biaya $0.80 / $4.00 per 1M token input/output, sedangkan Gemini 2.0 Flash sebesar $0.10 / $0.40. Secara keseluruhan, Gemini 2.0 Flash lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Claude 3.5 Haiku mendukung konteks 200K token dibandingkan 1.05M token pada Gemini 2.0 Flash, sementara Gemini 2.0 Flash unggul dalam kecepatan output token per detik.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- Claude 3.5 Haiku vs Claude 3 Haiku: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Claude 3.5 Haiku vs GPT-4o mini: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Gemini 2.0 Flash vs Gemini 1.5 Flash: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Gemini 2.0 Flash vs GPT-4o mini: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Gemini 2.0 Pro vs Gemini 2.0 Flash: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Aion-3.0 vs Aion-Mini: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
Sumber resmi: Dokumentasi API resmi Anthropic & Google serta evaluasi benchmark independen (2026).